Papers by Author: Chun Guang Lu

Abstract: Energy saving and environmental protection become two major topics in today's world. But with the rapid development of the global auto industry, energy consumption and environmental pollution problems also arise, so how to develop electric vehicles, especially how to promote the sustainable development of the electric car has become the outstanding problem faced by automotive industry in China. Motor drive system is the core component of the electric car, so it's extremely important to drive motor selection [. This paper mainly introduces the characteristics and performance of all kinds of drive motor, and determine the type of logistics in electric vehicle drive motor and the selection of drive position.

Abstract: According to the electric vehicle driven by dual wheel hub motors, the article analysed the principle of mechanical differential. And the article used the principle of differential under the same force of mechanical differential, put forward a new adaptive control strategy of electronic differential based on torque control. According to torque control£¬the controller controls the speed of the drive motors on both sides, which achieves the aim of the adaptive electronic differential.

Abstract: Developing automatic assembly techniques is essential for the application of advanced nanomaterials such as carbon nanotubes (CNTs). This paper presents a review of current research progress towards the automatic assembly of CNTs by dielectrophoresis (DEP). The mechanisms and experimental set-up of three methods for controlled DEP assembly of CNTs are introduced. One is using a limiting resistor to control the electric field after the deposition of a single CNT or a bundle of CNTs. The other two measure electrode gap electrical signals, gap impedance and current respectively, indicating CNT connections to stop the DEP process. The real-time electrical signal monitoring during the DEP process and controlling the DEP using the detected signals represent a research direction in the manipulation of a wide category of nanomaterials and will speed up the industrial applications of the materials.

Abstract: According to the quality problems in one gear enterprise, the DMAIC method which is the core application of the six sigma theory is used to improve the quality of the spiral bevel gear, and the quality data is analyzed by using Minitab software. Firstly, the quality problem is defined in accordance with the DMAIC procedures and the main reasons for quality problems in spiral bevel gears are determined. Secondly, measurement systems and process capability are analyzed. Then, we set a specific program for the improvements for the main causes of quality problems. Through the successful implementation of this project, the quality of spiral bevel gears is greatly improved, and the production cost is greatly reduced. The effect is very significant.

Abstract: Parameter optimization in multi-pass cutting operations involves optimal selection of cutting speed, feed rate, depth of cut, and the number of passes, duo to significant influence of these parameters on the quality of machined parts and machining economics. In this paper, a non-linear mathematical model based on minimum production cost for multi-pass milling operations is presented. The unwanted material is removed by one finishing pass and one or multiple roughing passes depending on the total depth of cut. Various realistic constraints are considered when developing the model. Optimal values of machining parameters are found by Genetic Algorithms. An example is presented to illustrate the optimization model and solution approach. The method yields lower unit production costs compared with the results from the literature and machining data handbook.